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                                                两张人脸图像比对ocr技术                        <img src="https://csdnimg.cn/release/phoenix/template/new_img/readCountWhite.png" alt=""><span class="read">2063</span>
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                                                全文文字识别OCRSDK                        <img src="https://csdnimg.cn/release/phoenix/template/new_img/readCountWhite.png" alt=""><span class="read">2007</span>
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                <a class="title text-truncate" data-report-click='{"mod":"popu_542","dest":"https://blog.csdn.net/zshua_18519103264/article/details/82225985#comments","ab":"new"}'  target="_blank" href="https://blog.csdn.net/zshua_18519103264/article/details/82225985#comments">移动端身份证识别，APP证件信息采集</a>
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                    <a href="https://my.csdn.net/walkcup" class="user-name" target="_blank">walkcup：</a>现在可以用手机NFC读卡模式，直接身份证、居住证、港澳证、护照等只要读卡器能读得现在手机NFC都能读取了，关键机读方式快还解决了图像OCR识别的伪造防伪问题，可以参考这个https://blog.csdn.net/cdyzfuture/article/details/103781885                </p>
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                    <a href="https://my.csdn.net/chenshicss" class="user-name" target="_blank">chenshicss：</a>有联系方式吗？                </p>
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                <a class="title text-truncate" data-report-click='{"mod":"popu_542","dest":"https://blog.csdn.net/zshua_18519103264/article/details/80818201#comments","ab":"new"}'  target="_blank" href="https://blog.csdn.net/zshua_18519103264/article/details/80818201#comments">车牌识别，离线车牌采集OCR技术</a>
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                    <a href="https://my.csdn.net/qq_43354564" class="user-name" target="_blank">qq_43354564：</a>有源码吗，方便发我邮箱吗，736653729@qq.com                </p>
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                    <a href="https://my.csdn.net/PeiRanMoZhiNengYu" class="user-name" target="_blank">PeiRanMoZhiNengYu：</a>不开源说个jb                </p>
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                                            <p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:0pt;"><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;"> ios安卓ocr识别开发包即是OCR识别软件，通过OCR软件对图片中的文字进行提取识别，转换成可检索的数据。但ios安卓ocr识别开发包其实分的非常细，下面介绍下ios安卓ocr识别开发包。</span></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:0pt;"><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;">    </span><strong><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;">  ios安卓ocr识别开发包1.证件OC识别：</span></strong></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:0pt;"><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;">      <span style="font-family:'微软雅黑';line-height:24px;">此类最开始是基于</span>PC的，近几年开始向移动端发展，主要有android，ios平台的SDK，目前成熟的有身份证识别，行驶证识别，驾驶证识别，护照识别等。</span></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:0pt;"><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;">　</span><a href="http://photo.blog.sina.com.cn/showpic.html#blogid=c40ae0390102wtzk&amp;url=http://album.sina.com.cn/pic/003AAvoJzy79SYK5xgnb3" rel="nofollow" style="color:rgb(62,115,160);"><img src="http://s4.sinaimg.cn/mw690/003AAvoJzy79SYK5xgnb3&amp;690" alt="ios安卓ocr识别开发包" title="ios安卓ocr识别开发包" style="border:0px;list-style:none;" /></a></p><br style="color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;" /><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:21pt;"><strong><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;">ios安卓ocr识别开发包2.银行卡OCR识别：</span></strong></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:21pt;"><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;"> <span style="font-family:'微软雅黑';line-height:24px;">此类技术是</span>2014年以后开始兴起的技术，主要用于移动支付绑卡，是一项非常有技术含量的细分OCR技术，目前有一些APP已经在用，如拉卡拉，宜人贷，支付宝，微信等。　</span></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:0pt;"><strong><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;"> </span></strong></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:21pt;"><strong><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;">ios安卓ocr识别开发包3.名片OCR识别：</span></strong></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:21pt;"><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;">  <span style="font-family:'微软雅黑';line-height:24px;">这一类技术也非常成熟了，目前市场上名片管理的</span>APP也非常多，多半已经使用这类技术。</span></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:0pt;"><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;"> </span></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:21pt;"><strong><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;">ios安卓ocr识别开发包4.文档OCR识别:</span></strong></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:21pt;"><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;"><span style="font-family:'微软雅黑';line-height:24px;">其实</span>OCR最早的时候就是主要识别文档，主要针对图书，报刊等，把这些纸质文档进行电子化。但这类技术主要是借助在扫描仪的基础上得到快速发展，目前识别率也非常高。移动端的文档OCR识别，近几年也有不少成功的应用。</span></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:0pt;"><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;"> </span></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:24pt;"><strong><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;">ios安卓ocr识别开发包5.票据类OCR识别：</span></strong></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:24pt;"><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;"><span style="font-family:'微软雅黑';line-height:24px;">这类技术主要是针对各种不同格式的票据，主要基于模板机制，需要针对不同的票据，定制不同的识别要素，这项技术也称要素识别</span>OCR，最早的其实运用的是银行行业，主要在银行的后督中，有非常成功的应用。</span></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:0pt;"><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;"> </span></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:0pt;"><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;"> </span><strong><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;">        ios安卓ocr识别开发包6.手写OCR识别：</span></strong></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:0pt;"><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;"><span style="font-family:'微软雅黑';line-height:24px;">其实手写</span>OCR可以分为两类，一类是书面手写的识别，这类技术没有得到很好的应用，只有是因为每个人的手写习惯不太一样。目前能识别好是手写的数字和字母，因为这些差异不会太大，手写的汉子，难度还是非常大的。第二类是联机手写技术：联机手写技术得到了非常好的应用，各种手写输入法，都是基于这个技术。可能有些人会问，同时手写ios安卓ocr识别开发包，为了联机手写识别的非常好，其实有两点，一是联机手写是单字识别，不用做切分，OCR里最难的不是比对识别，而是字符切分。二是因为联机手写技术是单字选择，有人进行判断。所以应用的非常广。</span></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:0pt;"><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;"> </span></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:24pt;"><strong><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;">ios安卓ocr识别开发包7.车牌OCR识别：</span></strong></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', SimSun;font-size:14px;text-align:left;text-indent:24pt;"><span style="line-height:24px;font-family:'微软雅黑';letter-spacing:0pt;font-size:12pt;"><span style="font-family:'微软雅黑';line-height:24px;">车牌识别技术相信大家都不会觉得陌生，智能交通，小区停车场等，都有很好的应用，车牌识别的原理其实技术对车牌进行</span>OCR识别，再进行比对的过程。也是相当成熟的技术。</span></p><p style="margin-left:0pt;border:0px;list-style:none;line-height:15.75pt;color:rgb(70,70,70);font-family:'Microsoft YaHei', 'Helvetica Neue', 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                                                                                            <span class="time">11-29</span>
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                                     data-report-click='{"mod":"popu_858","extra":"{\"utm_medium\":\"distribute.pc_relevant_right.none-task-blog-BlogCommendFromBaidu-20.nonecase\"}","index":"20","strategy":"BlogCommendFromBaidu","dest":"https:\/\/blog.csdn.net\/houwenjie11\/article\/details\/53503117","ab":"new"}'                                     data-report-view='{"mod":"popu_858","extra":"{\"utm_medium\":\"distribute.pc_relevant_right.none-task-blog-BlogCommendFromBaidu-20.nonecase\"}","index":"20","strategy":"BlogCommendFromBaidu","dest":"https:\/\/blog.csdn.net\/houwenjie11\/article\/details\/53503117","ab":"new"}'                                     data-report-query='utm_medium=distribute.pc_relevant_right.none-task-blog-BlogCommendFromBaidu-20.nonecase&depth_1-utm_source=distribute.pc_relevant_right.none-task-blog-BlogCommendFromBaidu-20.nonecase'                                 >
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                                        <div class="content clearfix ">
                                            <h5>
                                                <em>iOS</em> 银行卡号<em>识别</em>                                            </h5>
                                                                                            <span class="time">12-07</span>
                                                                                                                                        <span class="read"><img src="https://csdnimg.cn/release/phoenix/template/new_img/readCountWhite.png" alt="">1316 </span>
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                                <a
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                                     data-report-click='{"mod":"popu_858","extra":"{\"utm_medium\":\"distribute.pc_relevant_right.none-task-blog-BlogCommendFromBaidu-21.nonecase\"}","index":"21","strategy":"BlogCommendFromBaidu","dest":"https:\/\/blog.csdn.net\/qq_36617521\/article\/details\/53534892","ab":"new"}'                                     data-report-view='{"mod":"popu_858","extra":"{\"utm_medium\":\"distribute.pc_relevant_right.none-task-blog-BlogCommendFromBaidu-21.nonecase\"}","index":"21","strategy":"BlogCommendFromBaidu","dest":"https:\/\/blog.csdn.net\/qq_36617521\/article\/details\/53534892","ab":"new"}'                                     data-report-query='utm_medium=distribute.pc_relevant_right.none-task-blog-BlogCommendFromBaidu-21.nonecase&depth_1-utm_source=distribute.pc_relevant_right.none-task-blog-BlogCommendFromBaidu-21.nonecase'                                 >
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                                            <h5>
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                                                                                            <span class="time">12-09</span>
                                                                                                                                        <span class="read"><img src="https://csdnimg.cn/release/phoenix/template/new_img/readCountWhite.png" alt="">1080 </span>
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                                <a
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                                        <div class="content clearfix ">
                                            <h5>
                                                <em>iOS</em>-OpenCV之视频流身份证轮廓<em>识别</em>                                            </h5>
                                                                                            <span class="time">08-21</span>
                                                                                                                                        <span class="read"><img src="https://csdnimg.cn/release/phoenix/template/new_img/readCountWhite.png" alt="">1988 </span>
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                                                                            </div>
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                                <a
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                                        <div class="content clearfix ">
                                            <h5>
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                                                                                            <span class="time">06-28</span>
                                                                                                                                        <span class="read"><img src="https://csdnimg.cn/release/phoenix/template/new_img/readCountWhite.png" alt="">3586 </span>
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                                                                            </div>
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                                        <div class="content clearfix ">
                                            <h5>
                                                Opencv实现身份证OCR<em>识别</em>                                            </h5>
                                                                                            <span class="time">08-09</span>
                                                                                                                                        <span class="read"><img src="https://csdnimg.cn/release/phoenix/template/new_img/readCountWhite.png" alt="">1万+ </span>
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                                <a
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                                        <div class="content clearfix ">
                                            <h5>
                                                分享一种身份证OCR<em>识别</em>技术                                            </h5>
                                                                                            <span class="time">02-25</span>
                                                                                                                                        <span class="read"><img src="https://csdnimg.cn/release/phoenix/template/new_img/readCountWhite.png" alt="">1万+ </span>
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                                <a
                                        href="https://blog.csdn.net/tiantianios/article/details/82112660"
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                                        <div class="content clearfix ">
                                            <h5>
                                                OCR:<em>iOS</em>身份证（正反面）<em>识别</em>及银行卡<em>识别</em>                                            </h5>
                                                                                            <span class="time">08-27</span>
                                                                                                                                        <span class="read"><img src="https://csdnimg.cn/release/phoenix/template/new_img/readCountWhite.png" alt="">1万+ </span>
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                                <a
                                        href="https://blog.csdn.net/weixin_33966365/article/details/88004687"
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                                    <div class="context-box ">
                                        <div class="content clearfix ">
                                            <h5>
                                                快速高效 | <em>iOS</em>身份证<em>识别</em>                                            </h5>
                                                                                            <span class="time">01-02</span>
                                                                                                                                        <span class="read"><img src="https://csdnimg.cn/release/phoenix/template/new_img/readCountWhite.png" alt="">99 </span>
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                                    <div class="context-box ">
                                        <div class="content clearfix ">
                                            <h5>
                                                <em>iOS</em>图像文字<em>识别</em>                                            </h5>
                                                                                            <span class="time">03-16</span>
                                                                                                                                        <span class="read"><img src="https://csdnimg.cn/release/phoenix/template/new_img/readCountWhite.png" alt="">3942 </span>
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                                        <div class="content clearfix ">
                                            <h5>
                                                手持发票采集，移动报销                                            </h5>
                                                                                            <span class="time">06-28</span>
                                                                                                                                        <span class="read"><img src="https://csdnimg.cn/release/phoenix/template/new_img/readCountWhite.png" alt="">307 </span>
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                                <a
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                                        <div class="content clearfix ">
                                            <h5>
                                                人脸-活体检测                                            </h5>
                                                                                            <span class="time">07-12</span>
                                                                                                                                        <span class="read"><img src="https://csdnimg.cn/release/phoenix/template/new_img/readCountWhite.png" alt="">3206 </span>
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                                            <h5>
                                                OCR<em>证件</em><em>识别</em>的应用                                            </h5>
                                                                                            <span class="time">01-26</span>
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                                            <h5>
                                                说说百度<em>iOS</em>人脸<em>识别</em>的痛                                            </h5>
                                                                                            <span class="time">06-01</span>
                                                                                                                                        <span class="read"><img src="https://csdnimg.cn/release/phoenix/template/new_img/readCountWhite.png" alt="">1636 </span>
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                                <a
                                        href="https://download.csdn.net/download/ghl2318560278/10038051"
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                                        <div class="content clearfix content-width">
                                            <h5>
                                                <em>IOS</em> OCR图片扫描文字<em>识别</em>DEMO                                            </h5>
                                                                                            <span class="time">10-24</span>
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                                                                                    <span class="download_mark_button ">立即下载 </span>
                                                                            </div>
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                                <a
                                        href="https://download.csdn.net/download/wang6177/10243649"
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                                    <div class="context-box ">
                                        <div class="content clearfix content-width">
                                            <h5>
                                                百度OCR<em>识别</em><em>iOS</em> demo                                            </h5>
                                                                                            <span class="time">02-07</span>
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                                                                                    <span class="download_mark_button ">立即下载 </span>
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                                <a
                                        href="https://blog.csdn.net/ALDRIDGE1/article/details/18792657"
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                                    <div class="context-box ">
                                        <div class="content clearfix ">
                                            <h5>
                                                <em>iOS</em>上OCR SDK                                            </h5>
                                                                                            <span class="time">01-26</span>
                                                                                                                                        <span class="read"><img src="https://csdnimg.cn/release/phoenix/template/new_img/readCountWhite.png" alt="">4062 </span>
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